What’s New in R: May 20, 2024
Welcome to this week’s edition of What’s New in R! This week, we’re featuring an in-progress update to Modern Data Science with R, a tutorial on using flags for facetted plots, and a deep dive into avoiding overplotting. Let’s dive in!
Modern Data Science with R
This book, written by Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton, bills itself as “a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data.” The authors are currently updating the third edition of the book, which has sections on data viz, data wrangling, statistics and modeling, and more. Best of all, it’s free to read online.
Images as facet labels in {ggplot2}
Normally, when you make facetted plots with ggplot, the values of the variable used for facetting show up as the titles of each plot (they’re technically known as the strip titles). But, as with everyhing ggplot, there are ways to tweak the defaults. In this blog post, Umair Durrani shows how to use flags as the title for facetted plots.
How to fill maps with density gradients with R, {ggplot2}, and {sf}
A common problem in data viz is overplotting. This happens when you have a number of points you want to show and they all overlap. This is a particularly common problem with geospatial data. In this blog post, Andrew Heiss goes through various options to deal with the problem using data on campgrounds in the US state of Georgia. The one he lands on (so-called density gradients) is a great way to highlight which areas have a lot of campgrounds without having to show each of them on a map.
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